Optimization of Barron density estimates.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F01%3A16010060" target="_blank" >RIV/67985556:_____/01:16010060 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Optimization of Barron density estimates.

Original language description

We investigate a nonparametric estimator of probability density introduced by A.R.Barron. Earlier papers established its consistency in a strong sense,e.g.,in the expected information divergence or expected chi-square divergence. This paper pays main attention to the expected chi-square divergence criterion. We give a new motivation of the Barron estimators by showing that a maximum-likelihood estimator (MLE) of a density from a family important in practice is consistent in expected information divergence.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BD - Information theory

OECD FORD branch

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Project

<a href="/en/project/GA102%2F99%2F1137" target="_blank" >GA102/99/1137: Estimation and optimization in telecommunication networks</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Information Theory

ISSN

0018-9448

e-ISSN

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Volume of the periodical

47

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

17

Pages from-to

1867-1883

UT code for WoS article

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EID of the result in the Scopus database

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